Marco

Computer programming, Artificial intelligence

Marco’s methodology is based on an engineering approach, so he starts the discussion by framing the general problem, in order to place the student in an application context, and then solve the single aspects starting from the simplest ones. In general the approach is structured but with particular attention to the creativity of the individual. During these years of PhD Marco has gained an excellent experience in the exhibition having to speak several times in public and having taught several classes during the exercises in the laboratories of the Politecnico.

https://www.superprof.com/matlab-ambassador-phd-student-bioengineering-with-matlab-associate-certificate-and-years-experience-offers-matlab-lessons-both.html
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Detailed Information

Marco is a biomedical engineer (state exam obtained in 2018) and PhD student at the Politecnico di Torino. He graduated in 2017 with 110 cum laude. He deals with biomedical applications in the field of wearable sensors for monitoring the neuromuscular system. He has been teaching university and non-university repetitions since 2017. Marco obtained the MATLAB Associate certificate in 2019 and since 2020. He is MATLAB Student Ambassador.

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